What does this research mean for the field?

Future climate projections for Accra, Ghana, indicate an increasing recurrence and persistence of both meteorological droughts and extreme wet events at longer time scales, with stronger late-century rainfall intensity under the SSP5-8.5 scenario. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess historical and future precipitation characteristics, meteorological drought, and wetness conditions under two greenhouse gas emission pathways.

September 14, 2026Discover EnvironmentOpen Access

Projected intensification of precipitation characteristics and meteorological drought and wetness conditions in Accra Ghana

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Authors

JQJohnson Quaque YSYongwon Seo

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Overview

Climate modeling study reveals persistent cycles of meteorological drought and intensifying rainfall extremes in coastal West Africa, highlighting critical challenges for urban drainage design.

Key Points

To assess historical and future precipitation characteristics, meteorological drought, and wetness conditions under two greenhouse gas emission pathways.
Evaluated historical simulation performance of the Korea Meteorological Administration Advanced Community Earth System (KACE) model against observed precipitation data from 1982 to 2014.
Projected climate shifts across near-future (2015–2040), mid-future (2041–2070), and far-future (2071–2100) periods under SSP1-2.6 and SSP5-8.5 scenarios.
Quantified drought and moisture dynamics using the Standardized Precipitation Index alongside ETCCDI extreme indices, including CDD, CWD, Rx1day, Rx5day, and SDII.
The KACE model effectively replicates historical precipitation trends, despite existing discrepancies in the magnitude of extreme events.
Projections reveal persistent swings between meteorological drought and wetness with greater recurrence and duration at longer timescales, rather than a uniform directional shift.
Rainfall intensity indices and maximum precipitation metrics strengthen substantially toward the late 21st century under the high-emission SSP5-8.5 scenario.

Cite This Study

Quaque et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b3580926e14a848b228f https://doi.org/10.1007/s44274-026-01038-y

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September 14, 2026Discover EnvironmentOpen Access

Projected intensification of precipitation characteristics and meteorological drought and wetness conditions in Accra Ghana

View Full Paper

Ask AI

Bookmark

Authors

JQJohnson Quaque YSYongwon Seo

Discussion

Member takes

Overview

Climate modeling study reveals persistent cycles of meteorological drought and intensifying rainfall extremes in coastal West Africa, highlighting critical challenges for urban drainage design.

Key Points

To assess historical and future precipitation characteristics, meteorological drought, and wetness conditions under two greenhouse gas emission pathways.
Evaluated historical simulation performance of the Korea Meteorological Administration Advanced Community Earth System (KACE) model against observed precipitation data from 1982 to 2014.
Projected climate shifts across near-future (2015–2040), mid-future (2041–2070), and far-future (2071–2100) periods under SSP1-2.6 and SSP5-8.5 scenarios.
Quantified drought and moisture dynamics using the Standardized Precipitation Index alongside ETCCDI extreme indices, including CDD, CWD, Rx1day, Rx5day, and SDII.
The KACE model effectively replicates historical precipitation trends, despite existing discrepancies in the magnitude of extreme events.
Projections reveal persistent swings between meteorological drought and wetness with greater recurrence and duration at longer timescales, rather than a uniform directional shift.
Rainfall intensity indices and maximum precipitation metrics strengthen substantially toward the late 21st century under the high-emission SSP5-8.5 scenario.

Cite This Study

Quaque et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b3580926e14a848b228f https://doi.org/10.1007/s44274-026-01038-y

View Full Paper

Ask AI

Bookmark